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Rodolfo Alvarado-Cervantes

Rodolfo Alvarado-Cervantes
Industrias Electrónicas Ateramex S.A. de C.V. http://www.ateramex.com · Departamento de Investigación en Electrónica de Control e Inteligencia Artificial, Industrias Electrónicas Ateramex, S.A. de C.V. http://www.ateramex.com

Doctor of Philosophy

About

16
Publications
3,341
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26
Citations
Introduction
He completed his studies in the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS), Centro de Investigaciones Teóricas, UNAM to obtain his Ph.D. degree in Computing Science in 2017. His research interests are on Color Image Processing and its applications, Image Analysis, Computer Vision and Pattern Recognition and its applications, particularly in color images. He is currently working with his Father in their own high tech company Industrias Electronicas Ateramex, S.A. de C.V.
Additional affiliations
May 2017 - March 2019
Industrias Electrónicas Ateramex S.A. de C.V.
Position
  • Researcher
January 2014 - April 2017
Universidad Nacional Autónoma de México
Position
  • Researcher
Description
  • Phd studies on segmentation of color images, color measuring and color segmentation evaluation
July 2001 - August 2007
Instituto Politécnico Nacional
Position
  • Researcher
Description
  • Digitization of Maps through Recognition of the Cartographic patterns, with registration number 32019 -A CONACyT.

Publications

Publications (16)
Chapter
In this paper, a study of the behavior of the CIE L*a*b* color space to detect subtle changes of saturation during image segmentation is presented. It was performed a comparative study of some basic segmentation techniques implemented in the L*a*b*, RGB color space and in a modified HSI color space using a recently published adaptive color similari...
Thesis
Full-text available
In recent years considerable effort has been devoted to the problem of color segmentation in digital images given its importance and potential. Until recently, most published approaches for color segmentation were based on monochromatic techniques applied to each color component of the image in different color spaces (RGB or other) and in different...
Article
Full-text available
In this article, we present an adaptive color similarity function defined in a modified hue-saturation-intensity color space, which can be used directly as a metric to obtain pixel-wise segmentation of color images among other applications. The color information of every pixel is integrated as a unit by an adaptive similarity function thus avoiding...
Article
Full-text available
In this paper an evaluation of the influence of luminance L* at the L*a*b* color space during color segmentation is presented. A comparative study is made between the behavior of segmentation in color images using only the Euclidean metric of a* and b* and an adaptive color similarity function defined as a product of Gaussian functions in a modifie...
Conference Paper
Full-text available
In this paper a study of the influence of luminance L* at the CIE L* a* b* color space during color segmentation in highly saturated color images is presented. A comparative study is made between the behavior of segmentation in color images using (1) the Euclidean metric of the RGB channels (2) the Euclidean metric of a* and b* in CIE L*a*b* color...
Conference Paper
Full-text available
In this paper a study of the influence of luminance L* at the L* a* b* color space during color segmentation is presented. The behavior of different color image segmentation algorithms is studied, in particular, the techniques based on only the Euclidean metric of a* and b* and an adaptive color similarity function defined as a product of Gaussian...
Conference Paper
Full-text available
We present an evaluation and limited characterization of an own semi-automatic color image segmentation method using generated synthetic images with its associated ground truth. The synthetic images where designed to evaluate the efficiency of the resulting color information achieved from color segmentation algorithms. By the use of ROC curves and...
Conference Paper
Full-text available
We present an interactive, semiautomatic image segmentation method that processes the color information of each pixel as a unit, thus avoiding color information scattering. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The border between the...
Conference Paper
Full-text available
We present an interactive, semiautomatic image segmentation method that processes the color information of each pixel as a unit, thus avoiding color information scattering. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The border between the...
Conference Paper
Full-text available
In this paper an interactive, semiautomatic image segmentation method is presented which, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has only two steps: 1) The manual selection of few sample pixels of the color to be segmented in the image; and 2) The automatic generation of the...
Conference Paper
Full-text available
Abstract. An interactive, semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has two steps: 1) The manual selection of few sample pixels of the color to be segment...
Conference Paper
Full-text available
An interactive and semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, uses the color information of each pixel as a unit, thus avoiding color information scattering. The color information of every pixel is integrated by an adap-tive color similarity function designed for dire...

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